Filip Perich

2.0k citations
31 papers · 927 · h-index 12

Impact in

Papers in

Filip Perich

28 papers receiving 803 citations

Peers

Filip Perich
Comparison fields: 5 of 61
  • Computer Networks and Communications 569
  • Computer Vision and Pattern Recognition 478
  • Information Systems 338
  • Signal Processing 96
  • Artificial Intelligence 277
Replace M. Dennis Mickunas with:
M. Dennis Mickunas United States
Wolfgang Klas Austria
A. Karmouch Canada
Wieland Schwinger Austria
A. Ranganathan United States
Choonhwa Lee South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Filip Perich

Since Specialization
Citations

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

Fields of papers citing papers by Filip Perich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Filip Perich, 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 Filip Perich Line = papers co-authored together Filip Perich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004329
2 2004152
3 200182
4 200459
5 200246
6 200445
7 200742
8 200328
9 200421
10 200815
11 200512
12 200611
13 200211
14 200811
15 200410
16 20078
17 20088
18
An Agent Discovery Architecture Using Ronin and DReggie
20026
19 20046
20 20015

About Filip Perich

Filip Perich is a scholar working on Computer Networks and Communications, Sociology and Political Science, Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 31 papers that have together received 927 indexed citations. Recurring topics across this work include Access Control and Trust (9 papers), Mobile Agent-Based Network Management (9 papers), Context-Aware Activity Recognition Systems (8 papers), Peer-to-Peer Network Technologies (7 papers), Opportunistic and Delay-Tolerant Networks (6 papers), Network Packet Processing and Optimization (6 papers), Distributed systems and fault tolerance (5 papers) and Service-Oriented Architecture and Web Services (4 papers). The work is most often cited by research in Computer Networks and Communications (569 citations), Computer Vision and Pattern Recognition (478 citations), Information Systems (338 citations), Signal Processing (96 citations) and Artificial Intelligence (277 citations). Filip Perich has collaborated with scholars based in United States and India. Frequent co-authors include Anupam Joshi, Tim Finin, Dipanjan Chakraborty, Lalana Kagal, Yelena Yesha, Sasikanth Avancha, Mark McHenry, Jeffrey Undercoffer, Harry Chen and Anand V. Patwardhan. Their work appears in journals such as International Journal of Cooperative Information Systems, International Journal of Wireless Information Networks, Thorax, IEEE Internet Computing and IEEE Transactions on Knowledge and Data 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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