Nanda Piersma

667 total citations
32 papers, 481 citations indexed

About

Nanda Piersma is a scholar working on Management Science and Operations Research, Marketing and Management Information Systems. According to data from OpenAlex, Nanda Piersma has authored 32 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 9 papers in Marketing and 6 papers in Management Information Systems. Recurrent topics in Nanda Piersma's work include Consumer Market Behavior and Pricing (9 papers), Organizational Management and Leadership (6 papers) and Customer churn and segmentation (5 papers). Nanda Piersma is often cited by papers focused on Consumer Market Behavior and Pricing (9 papers), Organizational Management and Leadership (6 papers) and Customer churn and segmentation (5 papers). Nanda Piersma collaborates with scholars based in Netherlands, United States and Belgium. Nanda Piersma's co-authors include Richard Freling, Jedid‐Jah Jonker, Rommert Dekker, G.J. van Oortmarssen, H. Edwin Romeijn, Rob Potharst, Sanne de Boer, P. A. Naik, Robert van den Hoed and Robin Nicolai and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Decision Support Systems.

In The Last Decade

Nanda Piersma

31 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nanda Piersma Netherlands 13 144 132 122 109 50 32 481
Sumit Kunnumkal India 13 373 2.6× 76 0.6× 168 1.4× 111 1.0× 59 1.2× 30 484
Tan Miller United States 16 221 1.5× 236 1.8× 39 0.3× 122 1.1× 92 1.8× 29 674
Yuri Levin Canada 13 526 3.7× 93 0.7× 451 3.7× 290 2.7× 35 0.7× 29 807
Nalân Gülpınar United Kingdom 12 62 0.4× 81 0.6× 28 0.2× 283 2.6× 20 0.4× 40 603
Sharafali Moosa Singapore 15 300 2.1× 143 1.1× 40 0.3× 83 0.8× 34 0.7× 36 483
Itir Karaesmen United States 11 378 2.6× 96 0.7× 148 1.2× 158 1.4× 24 0.5× 26 580
Howard J. Weiss United States 12 359 2.5× 110 0.8× 49 0.4× 81 0.7× 15 0.3× 32 543
Ladimer S. Nagurney United States 13 142 1.0× 33 0.3× 52 0.4× 44 0.4× 68 1.4× 41 491
Saber Molla‐Alizadeh‐Zavardehi Iran 15 110 0.8× 227 1.7× 72 0.6× 129 1.2× 19 0.4× 28 638
Robert Aboolian United States 11 119 0.8× 193 1.5× 51 0.4× 44 0.4× 112 2.2× 13 536

Countries citing papers authored by Nanda Piersma

Since Specialization
Citations

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

Fields of papers citing papers by Nanda Piersma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanda Piersma

This figure shows the co-authorship network connecting the top 25 collaborators of Nanda Piersma. A scholar is included among the top collaborators of Nanda Piersma 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 Nanda Piersma. Nanda Piersma 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.
Piersma, Nanda, et al.. (2021). Accessibility of green areas for local residents. Environmental and Sustainability Indicators. 10. 100114–100114. 16 indexed citations
2.
Jonker, Jedid‐Jah, Nanda Piersma, & Rob Potharst. (2005). A decision support system for direct mailing decisions. Decision Support Systems. 42(2). 915–925. 26 indexed citations
3.
Nicolai, Robin, Rommert Dekker, Nanda Piersma, & G.J. van Oortmarssen. (2004). Automated response surface methodology for stochastic optimization models with unknown variance. Winter Simulation Conference. 1. 491–499. 12 indexed citations
4.
Piersma, Nanda, et al.. (2002). airline revenue management. ERIM Report Series Research in Management.
5.
Piersma, Nanda, et al.. (2002). Airline revenue management: an overview of OR techniques 1982-2001. Data Archiving and Networked Services (DANS). 23 indexed citations
6.
Naik, P. A. & Nanda Piersma. (2002). Understanding the role of marketing communications in direct marketing. Data Archiving and Networked Services (DANS). 10 indexed citations
7.
Jonker, Jedid‐Jah, Philip Hans Franses, & Nanda Piersma. (2002). Evaluating Direct Marketing Campaigns: recent findings and future research topics. ERIM Report Series Research in Management. 5 indexed citations
8.
Boer, Sanne de, Richard Freling, & Nanda Piersma. (2002). Mathematical Programming for Network Revenue Management Revisited. RePEc: Research Papers in Economics. 3 indexed citations
9.
Freling, Richard, et al.. (2002). Models and techniques for hotel revenue management using a rolling horizon. Journal of Revenue and Pricing Management. 1(3). 207–219. 2 indexed citations
10.
Piersma, Nanda, et al.. (2002). overview of OR techniques for airline revenue management. Statistica Neerlandica. 56(4). 479–495. 22 indexed citations
11.
Freling, Richard, et al.. (2001). Rostering at a Dutch Security Firm. RePub (Erasmus University, Rotterdam). 1 indexed citations
12.
Piersma, Nanda, et al.. (2000). Adaptive extensions of the Nelder and Mead Simplex Method for optimization of stochastic simulation models. Data Archiving and Networked Services (DANS). 8 indexed citations
13.
Piersma, Nanda & Jedid‐Jah Jonker. (2000). Determining the direct mailing frequency with dynamic stochastic programming. RePub (Erasmus University, Rotterdam). 1 indexed citations
14.
Oortmarssen, G.J. van, et al.. (2000). A framework for Response Surface Methodology for simulation optimization. Winter Simulation Conference. 1. 129–136. 57 indexed citations
15.
Romeijn, H. Edwin & Nanda Piersma. (2000). A Probabilistic Feasibility and Value Analysis of the Generalized Assignment Problem. Journal of Combinatorial Optimization. 4(3). 325–355. 12 indexed citations
16.
Boer, Sanne de, Richard Freling, & Nanda Piersma. (1999). Stochastic programming for multiple-leg network revenue management. RePEc: Research Papers in Economics. 14 indexed citations
17.
Piersma, Nanda, et al.. (1999). Comparison of response surface methodology and the Nelder and Mead simplex method for optimization in microsimulation models. Data Archiving and Networked Services (DANS). 8 indexed citations
18.
Piersma, Nanda, et al.. (1998). Media planning by optimizing contact frequencies. RePub (Erasmus University, Rotterdam). 1 indexed citations
19.
Piersma, Nanda & H. Edwin Romeijn. (1996). Parallel machine scheduling: A probabilistic analysis. Naval Research Logistics (NRL). 43(6). 897–916. 8 indexed citations
20.
Dekker, Rommert, Hans Frenk, Marcel Kleijn, Nanda Piersma, & A.G. de Kok. (1995). On the use of break quantities in multi--echelon distribution systems. RePub (Erasmus University Rotterdam). 1 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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