Marek Natkaniec

116 total papers · 861 total citations
71 papers, 545 citations indexed

About

Marek Natkaniec is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Marek Natkaniec has authored 71 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Networks and Communications, 33 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Marek Natkaniec's work include Wireless Networks and Protocols (46 papers), Mobile Ad Hoc Networks (35 papers) and Advanced Wireless Network Optimization (19 papers). Marek Natkaniec is often cited by papers focused on Wireless Networks and Protocols (46 papers), Mobile Ad Hoc Networks (35 papers) and Advanced Wireless Network Optimization (19 papers). Marek Natkaniec collaborates with scholars based in Poland, Italy and United Kingdom. Marek Natkaniec's co-authors include Andrzej R. Pach, Katarzyna Kosek‐Szott, Szymon Szott, Giuseppe Bianchi, Albert Banchs, Piotr Chołda, David Chieng, Roberto Canonico, Frank A. Zdarsky and Pablo Serrano and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Communications Magazine.

In The Last Decade

Marek Natkaniec

56 papers receiving 513 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marek Natkaniec	489	256	64	30	16	71	545
Ghasem Mirjalily	433 0.9×	291 1.1×	47 0.7×	35 1.2×	23 1.4×	84	532
Masoud Sabaei	457 0.9×	261 1.0×	56 0.9×	31 1.0×	36 2.3×	78	574
Fabien Geyer	485 1.0×	185 0.7×	96 1.5×	30 1.0×	33 2.1×	46	587
Sok‐Ian Sou	387 0.8×	425 1.7×	36 0.6×	43 1.4×	33 2.1×	71	532
Preetha Thulasiraman	393 0.8×	230 0.9×	24 0.4×	43 1.4×	12 0.8×	36	475
Diego Leonel Cadette Dutra	434 0.9×	209 0.8×	55 0.9×	24 0.8×	55 3.4×	35	503
B. Ramakrishnan	378 0.8×	333 1.3×	36 0.6×	22 0.7×	28 1.8×	50	489
Daniela Panno	345 0.7×	295 1.2×	55 0.9×	20 0.7×	20 1.3×	75	518
Yoshiaki Nemoto	445 0.9×	223 0.9×	34 0.5×	22 0.7×	21 1.3×	31	491
Yan Yan	313 0.6×	285 1.1×	43 0.7×	32 1.1×	73 4.6×	50	515

Countries citing papers authored by Marek Natkaniec

Since Specialization

Citations

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

Fields of papers citing papers by Marek Natkaniec

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Natkaniec

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Natkaniec. A scholar is included among the top collaborators of Marek Natkaniec 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 Marek Natkaniec. Marek Natkaniec is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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