Arindam Roy

716 total citations
39 papers, 519 citations indexed

About

Arindam Roy is a scholar working on Artificial Intelligence, Control and Systems Engineering and Management Information Systems. According to data from OpenAlex, Arindam Roy has authored 39 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Control and Systems Engineering and 8 papers in Management Information Systems. Recurrent topics in Arindam Roy's work include Optimization and Mathematical Programming (11 papers), Supply Chain and Inventory Management (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Arindam Roy is often cited by papers focused on Optimization and Mathematical Programming (11 papers), Supply Chain and Inventory Management (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Arindam Roy collaborates with scholars based in India and China. Arindam Roy's co-authors include Samarjit Kar, Manoranjan Maiti, Samir Maity, Manas Kumar Maiti, Debasis Das, Mousumi Chatterjee, Manoranjan Maiti, Tapan Kumar Saha, Shibaprasad Sen and Tanmoy Saha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Applied Mechanics.

In The Last Decade

Arindam Roy

38 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arindam Roy India 14 167 143 120 110 105 39 519
Najmeh Alikar Malaysia 9 117 0.7× 108 0.8× 64 0.5× 95 0.9× 70 0.7× 10 405
John E. Kobza United States 17 122 0.7× 166 1.2× 40 0.3× 58 0.5× 71 0.7× 44 802
Hossein Badri Iran 11 171 1.0× 124 0.9× 44 0.4× 192 1.7× 94 0.9× 24 701
Mahdi Karbasian Iran 10 93 0.6× 55 0.4× 60 0.5× 112 1.0× 56 0.5× 61 575
Mani Sharifi Iran 21 103 0.6× 336 2.3× 26 0.2× 119 1.1× 117 1.1× 72 1.0k
Seyed Mohsen Mousavi Iran 14 288 1.7× 220 1.5× 108 0.9× 216 2.0× 151 1.4× 19 734
Sun Hur South Korea 14 224 1.3× 274 1.9× 65 0.5× 114 1.0× 63 0.6× 58 634
Di Zhou China 15 51 0.3× 134 0.9× 31 0.3× 80 0.7× 172 1.6× 43 619
Mostafa Abouei Ardakan Iran 19 74 0.4× 85 0.6× 30 0.3× 46 0.4× 104 1.0× 44 1.2k
Taesu Cheong South Korea 14 74 0.4× 214 1.5× 64 0.5× 75 0.7× 98 0.9× 38 612

Countries citing papers authored by Arindam Roy

Since Specialization
Citations

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

Fields of papers citing papers by Arindam Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arindam Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Arindam Roy. A scholar is included among the top collaborators of Arindam Roy 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 Arindam Roy. Arindam Roy 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.
Roy, Rituparna Sinha, Nilanjana Chatterjee, Arindam Roy, et al.. (2024). High prevalence of CD44 and its ligand low molecular weight hyaluronan in plasma of HNSCC patients: clinical significance. Molecular Biology Reports. 51(1). 157–157. 2 indexed citations
2.
Mukherjee, Rohan, et al.. (2022). Can Ensemble Machine Learning Methods Predict Stock Returns for Indian Banks Using Technical Indicators?. Journal of risk and financial management. 15(8). 350–350. 12 indexed citations
3.
Chowdhury, Ratul, et al.. (2022). An optimal feature based network intrusion detection system using bagging ensemble method for real-time traffic analysis. Multimedia Tools and Applications. 81(28). 41225–41247. 13 indexed citations
4.
Roy, Arindam, et al.. (2020). Remotely Data Acquisition In Precision Agriculture: A Secure Way Of Data Transmission. International journal of scientific and technology research. 9(3). 874–878.
5.
Roy, Arindam, Rong Gao, Lifen Jia, Samir Maity, & Samarjit Kar. (2020). A Noble Genetic Algorithm to Solve a Solid Green Traveling Purchaser Problem with Uncertain Cost Parameters. American Journal of Mathematical and Management Sciences. 40(1). 17–31. 12 indexed citations
6.
Roy, Arindam, et al.. (2019). A novel memetic genetic algorithm for solving traveling salesman problem based on multi-parent crossover technique. Decision Making Applications in Management and Engineering. 2(2). 28 indexed citations
7.
Roy, Arindam, et al.. (2016). Computation of synthetic seismogram in real earth model by eigen function expansion. MAUSAM. 67(3). 659–668. 1 indexed citations
8.
Maity, Samir, Arindam Roy, & Manoranjan Maiti. (2015). A Modified Genetic Algorithm for solving uncertain Constrained Solid Travelling Salesman Problems. Computers & Industrial Engineering. 83. 273–296. 29 indexed citations
9.
Roy, Arindam, et al.. (2012). Wide-Band Bandpass Filter Using CRLH Transmission Line and Floating Slot Approach. Procedia Technology. 4. 466–471. 2 indexed citations
10.
11.
Das, Debasis, Arindam Roy, & Samarjit Kar. (2011). A volume flexible economic production lot-sizing problem with imperfect quality and random machine failure in fuzzy-stochastic environment. Computers & Mathematics with Applications. 61(9). 2388–2400. 31 indexed citations
12.
Roy, Arindam, et al.. (2010). Inventory models for breakable items with stock dependent demand and imprecise constraints. Mathematical and Computer Modelling. 52(9-10). 1771–1782. 10 indexed citations
13.
Roy, Arindam, Manas Kumar Maiti, Samarjit Kar, & Manoranjan Maiti. (2007). Two storage inventory model with fuzzy deterioration over a random planning horizon. Mathematical and Computer Modelling. 46(11-12). 1419–1433. 38 indexed citations
14.
Roy, Arindam, Manas Kumar Maiti, Samarjit Kar, & Manoranjan Maiti. (2007). An inventory model for a deteriorating item with displayed stock dependent demand under fuzzy inflation and time discounting over a random planning horizon. Applied Mathematical Modelling. 33(2). 744–759. 50 indexed citations
15.
Roy, Arindam, Samarjit Kar, & Manoranjan Maiti. (2007). A deteriorating multi-item inventory model with fuzzy costs and resources based on two different defuzzification techniques. Applied Mathematical Modelling. 32(2). 208–223. 24 indexed citations
16.
Saha, Tapan Kumar & Arindam Roy. (2002). Scattering From an Elliptic Crack by an Integral Equation Method: Normal Loading. Journal of Applied Mechanics. 69(6). 775–784. 1 indexed citations
17.
Roy, Arindam & Tapan Kumar Saha. (2000). Weight function for an elliptic crack in an infinite medium. I.  Normal loading. International Journal of Fracture. 103(3). 227–241. 16 indexed citations
18.
Saha, Tanmoy, Mousumi Chatterjee, & Arindam Roy. (1999). Interaction between coplanar elliptic cracks—II shear loading. International Journal of Solids and Structures. 36(4). 619–637. 8 indexed citations
19.
Roy, Arindam, et al.. (1993). Automatic Echo Determination in Measured Room Impulse Responses. Journal of the Audio Engineering Society. 3 indexed citations
20.
Roy, Arindam. (1975). Surface Displacements in an Elastic Half Space due to a Buried Moving Point Source. Geophysical Journal International. 40(2). 289–304. 5 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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