Ivan Ruchkin

497 citations
35 papers · 294 · h-index 9

Impact in

Papers in

    • Advanced Software Engineering Methodologies 13
    • Adversarial Robustness in Machine Learning 4
    • Model-Driven Software Engineering Techniques 9
    • Software Reliability and Analysis Research 5

Ivan Ruchkin

31 papers receiving 285 citations

Peers

Ivan Ruchkin
Comparison fields: 5 of 55
  • Software 63
  • Industrial and Manufacturing Engineering 51
  • Hardware and Architecture 32
  • Artificial Intelligence 122
  • Computer Networks and Communications 83
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Citations per year

Countries citing papers authored by Ivan Ruchkin

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Ruchkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201475
2 201743
3 202427
4 202125
5 201918
6 201417
7 201511
8 201710
9 20168
10 20188
11 20177
12 20156
13 20216
14 20204
15 20233
16 20203
17 20233
18 20242
19 20102
20
Towards Integration of Modeling Methods for Cyber-Physical Systems.
20152

About Ivan Ruchkin

Ivan Ruchkin is a scholar working on Artificial Intelligence, Software, Computational Theory and Mathematics, Computer Networks and Communications and Control and Systems Engineering, having authored 35 papers that have together received 294 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (13 papers), Formal Methods in Verification (12 papers), Model-Driven Software Engineering Techniques (9 papers), Software Reliability and Analysis Research (5 papers), Adversarial Robustness in Machine Learning (4 papers), Software System Performance and Reliability (3 papers), Real-Time Systems Scheduling (3 papers) and Safety Systems Engineering in Autonomy (3 papers). The work is most often cited by research in Software (63 citations), Industrial and Manufacturing Engineering (51 citations), Hardware and Architecture (32 citations), Artificial Intelligence (122 citations) and Computer Networks and Communications (83 citations). Ivan Ruchkin has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Bradley Schmerl, David Garlan, Akshay Rajhans, Ajinkya Bhave, Bruce H. Krogh, André Platzer, David Garlan, Dionisio de Niz, Xiaokang Zhou and Hong Jin Kang. Their work appears in journals such as Journal of Parallel and Distributed Computing, IEEE Transactions on Automatic Control, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Reliable Intelligent Environments and IEEE Software.

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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