Dan Braha

2.7k citations
47 papers · 1.5k indexed · h-index 22

Impact in

Papers in

Dan Braha

45 papers receiving 1.4k citations

Peers

Dan Braha
Comparison fields: 5 of 122
  • Management of Technology and Innovation 582
  • Industrial and Manufacturing Engineering 442
  • Statistical and Nonlinear Physics 190
  • Mechanical Engineering 509
  • Management Science and Operations Research 168
Replace Hideaki Takeda with:
Hideaki Takeda Japan
Kazushi Ueda Japan
Domenico Maisano Italy
Ali E. Abbas United States
Luca Mastrogiacomo Italy
Giovanna Di Marzo Serugendo Switzerland
Riichiro Mizoguchi Japan
Zhenyu Zhang China
Jian Jin China
Steve Culley United Kingdom
Dan Braha relative to Hideaki Takeda Japan Hideaki Takeda's profile →
Citations per field
00.5×2.8×
Hideaki Takeda · 1×
Citations per year

Countries citing papers authored by Dan Braha

Since Specialization
Citations

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

Fields of papers citing papers by Dan Braha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003234
2 2003130
3 200389
4 199888
5 200187
6 200286
7 199785
8 201269
9 199867
10 201048
11 201047
12 201745
13 200844
14 201532
15 199630
16 199829
17 201528
18 200225
19 199724
20 200323

About Dan Braha

Dan Braha is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation, Mechanical Engineering, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (14 papers), Design Education and Practice (12 papers), Product Development and Customization (12 papers), Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (7 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Complex Systems and Decision Making (4 papers) and Optimization and Packing Problems (3 papers). The work is most often cited by research in Management of Technology and Innovation (582 citations), Industrial and Manufacturing Engineering (442 citations), Statistical and Nonlinear Physics (190 citations), Mechanical Engineering (509 citations) and Management Science and Operations Research (168 citations). Dan Braha has collaborated with scholars based in United States, Israel and Brazil. Frequent co-authors include Oded Maimon, Ali Yassine, Armin Shmilovici, Yoram Reich, Yaneer Bar‐Yam, Marcus A. M. de Aguiar, Ali A. Minai, Daniel E. Whitney, Nitin Joglekar and Steven D. Eppinger. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, International Journal of Production Research, PLoS ONE, International Journal of General Systems and Concurrent Engineering.

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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