Nirupam Julka

629 citations
17 papers · 509 · h-index 8

Impact in

Papers in

Nirupam Julka

17 papers receiving 470 citations

Peers

Nirupam Julka
Comparison fields: 5 of 57
  • Management Information Systems 220
  • Industrial and Manufacturing Engineering 199
  • Management Science and Operations Research 157
  • Strategy and Management 127
  • Control and Systems Engineering 119
Replace Peter Lendermann with:
Peter Lendermann Singapore
R.M.J. Heuts Netherlands
Roger M. Kerr Australia
Magdy Helal United States
Guilherme Pereira Portugal
Ilya Jackson United States
Frank Riddick United States
S. T. Enns Canada
Marcin Relich Poland
Pasumarti V. Kamesam United States
Nirupam Julka relative to Peter Lendermann Singapore Peter Lendermann's profile →
Citations per field
00.5×1.5×2.1×
Peter Lendermann · 1×
Citations per year

Countries citing papers authored by Nirupam Julka

Since Specialization
Citations

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

Fields of papers citing papers by Nirupam Julka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Nirupam Julka, 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 Nirupam Julka Line = papers co-authored together Nirupam Julka links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2002187
2 2002107
3 200669
4 200351
5 201118
6 200314
7 200511
8 20048
9 20037
10 20077
11 20037
12 20026
13 20104
14 20034
15 20044
16 20104
17 20021

About Nirupam Julka

Nirupam Julka is a scholar working on Management Science and Operations Research, Management Information Systems, Industrial and Manufacturing Engineering, Computer Networks and Communications and Safety, Risk, Reliability and Quality, having authored 17 papers that have together received 509 indexed citations. Recurring topics across this work include Simulation Techniques and Applications (10 papers), Scheduling and Optimization Algorithms (7 papers), Business Process Modeling and Analysis (5 papers), Reliability and Maintenance Optimization (3 papers), Software Reliability and Analysis Research (3 papers), Distributed systems and fault tolerance (3 papers), Process Optimization and Integration (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Management Information Systems (220 citations), Industrial and Manufacturing Engineering (199 citations), Management Science and Operations Research (157 citations), Strategy and Management (127 citations) and Control and Systems Engineering (119 citations). Nirupam Julka has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Iftekhar A. Karimi, Rajagopalan Srinivasan, Peter Lendermann, Boon Ping Gan, Benny Tjahjono, Tim Baines, Leon F. McGinnis, Dan Chen, Wentong Cai and Stephen John Turner. Their work appears in journals such as Computers & Chemical Engineering, Journal of Simulation, International Journal of Production Economics, Computers in Industry and SIMULATION.

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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