Figure 1

Figure 2

Figure 3

Figure 4

Summary of data sets used_
| Features | ACM DL | MAG |
|---|---|---|
| Total works | 182,791 | 212,689,976 |
| Unique, co-authored, computer science works | 121,672 | 557,730 |
Results of country identification_
| Code | Results | ACM DL | MAG |
|---|---|---|---|
| C | Affiliations in co-authored works | 384,672 | 853,482 |
| C1 | “NA”, “None”, etc values | 52,454 (13.64%) | 66,924 (7.84%) |
| C2 | Identified | 273,245 (71.02%) | 643,678 (75.42%) |
| C2.1 | Identified by string matching | 236,100 (61.38%) | 594,911 (69.70%) |
| C2.2 | Identified by Wikidata | 37,106 (9.65%) | 48,767 (5.71%) |
| C3 | Not identified (Other values) | 59,012 (15.34%) | 142,888 (16.74%) |
Summary statistics of the method's results_
| ACM DL | MAG | |
|---|---|---|
| Mean | 5.70% | 5.42% |
| Standard error | 0.69% | 1.29% |
| Median | 1.20% | 0.91% |
| Mode | 0% | 0% |
| Standard deviation | 8.10% | 17.88% |
| Interquartile range | 6.30% | 10.18% |
| Count | 137 | 192 |
The accuracy of the method using Wikidata query_
| ACM DL | MAG | |
|---|---|---|
| False match rate (FMR) | 0 % | 0 % |
| False non-match rate (FNMR) | 73 % | 75 % |
