Artem Barger

4.1k total citations
20 papers, 134 citations indexed

About

Artem Barger is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Artem Barger has authored 20 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 12 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Artem Barger's work include Blockchain Technology Applications and Security (15 papers), Distributed systems and fault tolerance (7 papers) and IoT and Edge/Fog Computing (4 papers). Artem Barger is often cited by papers focused on Blockchain Technology Applications and Security (15 papers), Distributed systems and fault tolerance (7 papers) and IoT and Edge/Fog Computing (4 papers). Artem Barger collaborates with scholars based in Israel, Russia and United Kingdom. Artem Barger's co-authors include Yacov Manevich, Yoav Tock, Dan Feldman, Vita Bortnikov, Ido Guy, Yael Dubinsky, Ruti Gafni, Gregory Chockler, Alexander Zemtsov and Gennady Laventman and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IBM Journal of Research and Development.

In The Last Decade

Artem Barger

16 papers receiving 125 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Artem Barger Israel 7 79 45 41 19 15 20 134
Sherif G. Aly Egypt 7 61 0.8× 58 1.3× 26 0.6× 8 0.4× 15 1.0× 54 197
Shraddha Phansalkar India 8 131 1.7× 53 1.2× 82 2.0× 12 0.6× 17 1.1× 28 226
Bipin Kumar India 9 94 1.2× 51 1.1× 47 1.1× 22 1.2× 21 1.4× 31 193
Gerard O’Regan Kyrgyzstan 7 74 0.9× 22 0.5× 31 0.8× 12 0.6× 5 0.3× 24 154
Anjan Bandyopadhyay India 8 51 0.6× 56 1.2× 28 0.7× 9 0.5× 12 0.8× 77 159
Marcela Tuler de Oliveira Netherlands 8 228 2.9× 117 2.6× 102 2.5× 21 1.1× 14 0.9× 18 275
Domenico Redavid Italy 7 50 0.6× 22 0.5× 64 1.6× 25 1.3× 23 1.5× 25 124

Countries citing papers authored by Artem Barger

Since Specialization
Citations

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

Fields of papers citing papers by Artem Barger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Artem Barger

This figure shows the co-authorship network connecting the top 25 collaborators of Artem Barger. A scholar is included among the top collaborators of Artem Barger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Artem Barger. Artem Barger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barger, Artem, et al.. (2025). The Impact of the Exchange Fees on Impermanent Loss of Liquidity Providers for Conservative Automated Market Makers. SHILAP Revista de lepidopterología. 8(1). 1–11.
2.
Gafni, Ruti, et al.. (2024). Objectivity by design: The impact of AI-driven approach on employees' soft skills evaluation. Information and Software Technology. 170. 107430–107430. 9 indexed citations
3.
Barger, Artem, et al.. (2023). Uncovering the Perfect Scalable Database for Hyperledger Fabric's Evolution. 1–7. 1 indexed citations
5.
Barger, Artem, et al.. (2023). Reference Architecture for Blockchain-Native Distributed Information System. IEEE Access. 11. 4838–4851. 6 indexed citations
6.
Barger, Artem, et al.. (2023). A Journey Towards the Most Efficient State Database for Hyperledger Fabric. 1–3. 5 indexed citations
7.
Barger, Artem, et al.. (2022). Trustful Charity Foundation platform based on Hyperledger Fabric. 1–6. 3 indexed citations
8.
Barger, Artem, et al.. (2022). Optimizing multi-party agreement protocols. 55–58.
9.
Barger, Artem, et al.. (2021). A Byzantine Fault-Tolerant Consensus Library for Hyperledger Fabric. 1–9. 27 indexed citations
10.
Manevich, Yacov, et al.. (2021). Redacting Transactions from Execute-Order-Validate Blockchains. 1–9. 6 indexed citations
12.
Barger, Artem, et al.. (2021). Karma - blockchain based charity foundation platform. 1–2. 8 indexed citations
13.
14.
Barger, Artem & Dan Feldman. (2020). Deterministic Coresets for k-Means of Big Sparse Data. Algorithms. 13(4). 92–92. 5 indexed citations
15.
Barger, Artem, et al.. (2019). Increasing concurrency in hyperledger fabric. 179–179. 3 indexed citations
16.
Manevich, Yacov, Artem Barger, & Yoav Tock. (2019). Endorsement in Hyperledger Fabric via service discovery. IBM Journal of Research and Development. 63(2/3). 2:1–2:9. 20 indexed citations
17.
Barger, Artem, et al.. (2018). Shared Cloud Object Store, governed by permissioned blockchain. 114–114. 5 indexed citations
18.
Barger, Artem, et al.. (2017). Scalable communication middleware for permissioned distributed ledgers. 1–1. 6 indexed citations
19.
Barger, Artem & Dan Feldman. (2016). k-Means for Streaming and Distributed Big Sparse Data. 342–350. 16 indexed citations
20.
Barger, Artem, et al.. (2012). Bon voyage. 819–828. 8 indexed citations

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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