Macal, Charles M.
Argonne National Laboratory,
United States
2022 Rank: 43247
Overall Rank
Rank in SubField 1
Publications
Citations
Main Field:
Engineering
SubField 1:
Operations Research
SubField 2:
Artificial Intelligence & Image Processing
Rank in SubField 1: 182 out of 26588 Researchers
Data For The Year: 2022
| Metrics | Self-Citations Excluded | All |
|---|---|---|
| Rank Based on Composite Score | 43247 | 49354 |
| Total Cites | 415 | 438 |
| H-index | 9 | 9 |
| Hm-index | 5 | 5 |
| Number of Single Authored Papers | 11 | 11 |
| Total Cites to Single Authored Papers | 47 | 48 |
| Number of Single+First Authored Papers | 30 | 30 |
| Total Cites to Single+First Authored Papers | 253 | 258 |
| Number of Single+First+Last Authored Papers | 55 | 55 |
| Total Cites to Single+First+Last Authored Papers | 300 | 310 |
| Composite Score | 3 | 3 |
| Number of Distinct Citing Papers | 347 | 355 |
| Ratio of Total Citations to Distinct Citing Papers | 1.20 | 1.23 |
| Self-Citation Percentage |
5.25%
|
|
Macal, Charles M.
Argonne National Laboratory,
United States
2021 Rank: 43073
Overall Rank
Rank in SubField 1
Publications
Citations
Main Field:
Engineering
SubField 1:
Operations Research
SubField 2:
Artificial Intelligence & Image Processing
Rank in SubField 1: 231 out of 26063 Researchers
Data For The Year: 2021
| Metrics | Self-Citations Excluded | All |
|---|---|---|
| Rank Based on Composite Score | 43073 | 49406 |
| Total Cites | 596 | 615 |
| H-index | 12 | 12 |
| Hm-index | 5 | 6 |
| Number of Single Authored Papers | 11 | 11 |
| Total Cites to Single Authored Papers | 67 | 67 |
| Number of Single+First Authored Papers | 30 | 30 |
| Total Cites to Single+First Authored Papers | 364 | 367 |
| Number of Single+First+Last Authored Papers | 54 | 54 |
| Total Cites to Single+First+Last Authored Papers | 439 | 445 |
| Composite Score | 3 | 3 |
| Number of Distinct Citing Papers | 517 | 523 |
| Ratio of Total Citations to Distinct Citing Papers | 1.15 | 1.18 |
| Self-Citation Percentage |
3.09%
|
|
Partner with TOPSCINET
Reach science enthusiasts and researchers across the site. Write to business@topscinet.com and our marketing team will send a proposal built around your banner ad goals.