Mark Grechanik

2.3k citations
66 papers · 1.7k indexed · h-index 22

Mark Grechanik

63 papers receiving 1.6k citations

Peers

Mark Grechanik
Comparison fields: 5 of 41
  • Software 799
  • Information Systems 1.4k
  • Computer Science Applications 192
  • Signal Processing 270
  • Computer Networks and Communications 538
Replace Suresh Thummalapenta with:
Suresh Thummalapenta United States
Michael L. Collard United States
Malcom Gethers United States
Cathrin Weiß Germany
Sarah Nadi Canada
Radu Marinescu Romania
David Hovemeyer United States
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Takashi Ishio Japan
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Citations per field
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Citations per year

Countries citing papers authored by Mark Grechanik

Since Specialization
Citations

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

Fields of papers citing papers by Mark Grechanik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20201
2 201630
3 201610
4 20151
5 201519
6 201418
7 201314
8 201345
9 201272
10 201239
11 201139
12 20119
13 200914
14 200932
15 2009120
16 20096
17 200712
18 20071
19 20071
20 200410

About Mark Grechanik

Mark Grechanik is a scholar working on Software, Information Systems, Computer Science Applications, Computer Networks and Communications and Signal Processing, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Software Engineering Research (41 papers), Software Testing and Debugging Techniques (34 papers), Software System Performance and Reliability (23 papers), Software Reliability and Analysis Research (18 papers), Advanced Malware Detection Techniques (12 papers), Advanced Software Engineering Methodologies (9 papers), Service-Oriented Architecture and Web Services (7 papers) and Software Engineering Techniques and Practices (7 papers). The work is most often cited by research in Software (799 citations), Information Systems (1.4k citations), Computer Science Applications (192 citations), Signal Processing (270 citations) and Computer Networks and Communications (538 citations). Mark Grechanik has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Denys Poshyvanyk, Qing Xie, Chen Fu, Collin McMillan, Mario Linares‐Vásquez, Qi Luo, Chad Cumby, Dewayne E. Perry, B M Mainul Hossain and Christoph Csallner. Their work appears in journals such as Empirical Software Engineering, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology and Software Practice and Experience.

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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