M. Malawski

13.8k citations
84 papers · 1.3k · h-index 17

Impact in

Papers in

M. Malawski

75 papers receiving 1.2k citations

Peers

M. Malawski
Comparison fields: 5 of 97
  • Information Systems and Management 499
  • Computer Networks and Communications 1.0k
  • Information Systems 877
  • Hardware and Architecture 73
  • Management Science and Operations Research 88
Replace Aleksander Slominski with:
Aleksander Slominski United States
Roger Barga United States
Adam Belloum Netherlands
Tamás Kiss United Kingdom
Graziano Obertelli United States
Jens Dittrich Germany
Kate Keahey United States
Tomer Kaftan United States
Bikas Saha United States
M. Malawski relative to Aleksander Slominski United States Aleksander Slominski's profile →
Citations per field
00.5×3.5×
Aleksander Slominski · 1×
Citations per year

Countries citing papers authored by M. Malawski

Since Specialization
Citations

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

Fields of papers citing papers by M. Malawski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015178
2 2012151
3 2017122
4 201368
5 201550
6 201849
7 200448
8 201140
9 201337
10 201535
11 200425
12 202324
13 201023
14 201822
15 201120
16 201119
17 200316
18 202015
19 200515
20 200815

About M. Malawski

M. Malawski is a scholar working on Computer Networks and Communications, Information Systems and Management, Information Systems, Hardware and Architecture and Molecular Biology, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (56 papers), Scientific Computing and Data Management (51 papers), Cloud Computing and Resource Management (25 papers), Advanced Data Storage Technologies (16 papers), Parallel Computing and Optimization Techniques (12 papers), Simulation Techniques and Applications (7 papers), IoT and Edge/Fog Computing (5 papers) and Business Process Modeling and Analysis (4 papers). The work is most often cited by research in Information Systems and Management (499 citations), Computer Networks and Communications (1.0k citations), Information Systems (877 citations), Hardware and Architecture (73 citations) and Management Science and Operations Research (88 citations). M. Malawski has collaborated with scholars based in Poland, United States and Netherlands. Frequent co-authors include Jarek Nabrzyski, Ewa Deelman, Gideon Juve, Marian Bubak, Kamil Figiela, Bartosz Baliś, Tomasz Gubała, P.M.A. Sloot, Marek Kasztelnik and Piotr Nowakowski. Their work appears in journals such as Future Generation Computer Systems, Journal of Computational Science, IEEE Internet Computing, Interface Focus 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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