J.F. Ramil

2.4k citations
36 papers · 1.5k indexed · h-index 20

J.F. Ramil

36 papers receiving 1.4k citations

Peers

J.F. Ramil
Comparison fields: 5 of 59
  • Software 389
  • Computer Science Applications 475
  • Information Systems 1.4k
  • Artificial Intelligence 729
  • Management Information Systems 132
Replace Rubén Prieto-Díaz with:
Rubén Prieto-Díaz United States
Nico Zazworka United States
Marco Túlio Valente Brazil
Sunita Chulani United States
Bradford Clark United States
Tudor Gîrba Switzerland
Donald J. Reifer United States
Chris Abts United States
John E. Gaffney United States
Juergen Rilling Canada
J.F. Ramil relative to Rubén Prieto-Díaz United States Rubén Prieto-Díaz's profile →
Citations per field
00.5×10×
Rubén Prieto-Díaz · 1×
Citations per year

Countries citing papers authored by J.F. Ramil

Since Specialization
Citations

This map shows the geographic impact of J.F. Ramil's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J.F. Ramil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.F. Ramil more than expected).

Fields of papers citing papers by J.F. Ramil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.F. Ramil. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J.F. Ramil. The network helps show where J.F. Ramil may publish in the future.

Co-authorship network

The 20 scholars most cited alongside J.F. Ramil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J.F. Ramil Line = papers co-authored together J.F. Ramil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200643
2 200520
3 200425
4 20047
5 200418
6 200375
7 200219
8 200221
9 200247
10 200289
11 200223
12 200223
13 20024
14 2001171
15 2001252
16 200121
17 20009
18
Metrics and Laws of Software Evolution
20008
19 20004
20 199911

About J.F. Ramil

J.F. Ramil is a scholar working on Computer Science Applications, Information Systems, Software, Artificial Intelligence and Management Science and Operations Research, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Software Engineering Research (36 papers), Advanced Software Engineering Methodologies (26 papers), Open Source Software Innovations (16 papers), Software Engineering Techniques and Practices (11 papers), Service-Oriented Architecture and Web Services (3 papers), Software Reliability and Analysis Research (3 papers), Innovation Diffusion and Forecasting (2 papers) and Business Process Modeling and Analysis (2 papers). The work is most often cited by research in Software (389 citations), Computer Science Applications (475 citations), Information Systems (1.4k citations), Artificial Intelligence (729 citations) and Management Information Systems (132 citations). J.F. Ramil has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include M. M. Lehman, Dewayne E. Perry, Paul Wernick, Władysław M. Turski, Andrea Capiluppi, Joanne E. Hale, Ned Chapin, Wui‐Gee Tan, Khaled M. Khan and Neil Smith. Their work appears in journals such as Journal of Systems and Software, Empirical Software Engineering, Software Process Improvement and Practice, Journal of Software Maintenance and Evolution Research and Practice and Information Processing Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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