Fred Brooks

42 papers receiving 2.9k citations

Fred Brooks's Hit Papers

School bullies, victims, and aggressive victims: Factors relating to group affiliation and victimization in early adolescence. 1999 · 579 citations
5790+17+34Years since publication50010001.5k

Peers

Fred Brooks
Comparison fields: 5 of 137
  • Software 409
  • Computer Science Applications 397
  • Information Systems 1.2k
  • Human-Computer Interaction 267
  • Computer Graphics and Computer-Aided Design 154
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Citations per year

Countries citing papers authored by Fred Brooks

Since Specialization
Citations

This map shows the geographic impact of Fred Brooks'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 Fred Brooks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Brooks more than expected).

Fields of papers citing papers by Fred Brooks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred Brooks. 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 Fred Brooks. The network helps show where Fred Brooks may publish in the future.

Co-authors

The 25 scholars most cited alongside Fred Brooks, 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 Fred Brooks Line = papers co-authored together Fred Brooks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Mythical Man-Month
Hit paper breakdown →
19751958
2
School bullies, victims, and aggressive victims: Factors relating to group affiliation and victimization in early adolescence.
Hit paper breakdown →
1999579
3 2003202
4 1999118
5 1964114
6 200055
7 196452
8 199941
9 200540
10 200240
11 200338
12 201134
13
A Framework for the Real-Time Walkthrough of Massive Models
199825
14 200520
15 200617
16 200414
17 201013
18 195812
19 200112
20 195911

About Fred Brooks

Fred Brooks is a scholar working on Sociology and Political Science, General Health Professions, Computer Networks and Communications, Public Administration and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 3.5k indexed citations. Recurring topics across this work include Urban, Neighborhood, and Segregation Studies (6 papers), Distributed and Parallel Computing Systems (6 papers), Gender, Labor, and Family Dynamics (5 papers), Labor Movements and Unions (5 papers), Employment and Welfare Studies (5 papers), Housing, Finance, and Neoliberalism (4 papers), Food Security and Health in Diverse Populations (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Software (409 citations), Computer Science Applications (397 citations), Information Systems (1.2k citations), Human-Computer Interaction (267 citations) and Computer Graphics and Computer-Aided Design (154 citations). Fred Brooks has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Maria Bartini, Anthony D. Pellegrini, Mary C. Whitton, Sharif Razzaque, Michael Meehan, Gene M. Amdahl, Daniel G. Aliaga, Wolfgang Stuerzlinger, Carl Erikson and Dinesh Manocha. Their work appears in journals such as Research on Social Work Practice, IBM Journal of Research and Development, Journal of Educational Psychology, ACM SIGPLAN Notices and Communications of the ACM.

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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