Nilesh Anand
- Building and Construction top 2%
- Industrial and Manufacturing Engineering top 2%
- Transportation top 2%
- Automotive Engineering top 5%
- Strategy and Management
- Topics
- Urban and Freight Transport Logistics (14 papers)Transportation Planning and Optimization (9 papers)Transportation and Mobility Innovations (5 papers)
- Journals
- Expert Systems with ApplicationsTransportation Research Part C Emerging TechnologiesTransport Reviews
- Partner nations
- NetherlandsSwedenJapan
In The Last Decade
Nilesh Anand
17 papers receiving 468 citations
Peers
Comparison fields: 5 of 48
- Building and Construction 391
- Industrial and Manufacturing Engineering 260
- Transportation 239
- Automotive Engineering 126
- Strategy and Management 48
Countries citing papers authored by Nilesh Anand
This map shows the geographic impact of Nilesh Anand'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 Nilesh Anand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilesh Anand more than expected).
Fields of papers citing papers by Nilesh Anand
This network shows the impact of papers produced by Nilesh Anand. 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 Nilesh Anand. The network helps show where Nilesh Anand may publish in the future.
Co-authorship network of co-authors of Nilesh Anand
This figure shows the co-authorship network connecting the top 25 collaborators of Nilesh Anand. A scholar is included among the top collaborators of Nilesh Anand 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 Nilesh Anand. Nilesh Anand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Designing sharing logistics as a disruptive innovation in city logistics | 4 |
| 3 | 27 | |
| 4 | Electric freight vehicles in city logistics : insights into decision making process of frontrunner companies | 6 |
| 5 | 28 | |
| 6 | A participatory simulation gaming framework for the validation of an agent based model: the case of city logistics | 2 |
| 7 | 21 | |
| 8 | 4 | |
| 9 | 54 | |
| 10 | 42 | |
| 11 | About Quality of Semantic Data for the City Logistics Domain: A Comparison with the Stakeholders’ Perspectives | 2 |
| 12 | Ontology for City Logistics | 1 |
| 13 | 106 | |
| 14 | 72 | |
| 15 | 116 | |
| 16 | Relevance of City Logistics Modeling Efforts: A Review | 2 |
| 17 | 4 |
About Nilesh Anand
Nilesh Anand is a scholar working on Transportation, Building and Construction and Industrial and Manufacturing Engineering, having authored 17 papers that have together received 493 indexed citations. Recurring topics across this work include Urban and Freight Transport Logistics (14 papers), Transportation Planning and Optimization (9 papers) and Transportation and Mobility Innovations (5 papers). The work is most often cited by research in Transportation (239 citations), Building and Construction (391 citations) and Industrial and Manufacturing Engineering (260 citations). Nilesh Anand has collaborated with scholars based in Netherlands, Sweden and Japan. Frequent co-authors include Ron van Duin, Lóránt Tavasszy, Hans Quak, Eiichi Taniguchi, Sebastiaan Meijer and M R Wigan. Their work appears in journals such as Expert Systems with Applications, Transportation Research Part C Emerging Technologies and Transport Reviews.
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.