Aleksandar Pekeč

1.6k citations
19 papers · 1.0k indexed · 1 hit paper · h-index 10
Topics
Consumer Market Behavior and Pricing (5 papers)Scheduling and Optimization Algorithms (5 papers)Auction Theory and Applications (5 papers)

In The Last Decade

Aleksandar Pekeč

18 papers receiving 927 citations

Hit Papers

Computationally Manageable Combinational Auctions19982026200720161998200400600

Peers

Aleksandar Pekeč
Comparison fields: 5 of 55
  • Management Science and Operations Research 839
  • Marketing 433
  • Computer Networks and Communications 296
  • Management Information Systems 265
  • Economics and Econometrics 179
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Countries citing papers authored by Aleksandar Pekeč

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandar Pekeč

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandar Pekeč

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandar Pekeč. A scholar is included among the top collaborators of Aleksandar Pekeč 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 Aleksandar Pekeč. Aleksandar Pekeč is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 13
2 6
3 45
4 13
5 202
6 9
7 7
8 11
9 9
10 1
11
Computationally Manageable Combinational Auctionsbreakdown →
663
12 10
13 5
14 1
15 19
16 4
17 1
18 5
19
Single Machine Scheduling with Earliness and Tardiness Penalties: When is an Optimal Solution Not Optimal?
0

About Aleksandar Pekeč

Aleksandar Pekeč is a scholar working on General Decision Sciences, Industrial and Manufacturing Engineering and Management Science and Operations Research, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (5 papers), Scheduling and Optimization Algorithms (5 papers) and Auction Theory and Applications (5 papers). The work is most often cited by research in Management Science and Operations Research (839 citations), Marketing (433 citations) and Management Information Systems (265 citations). Aleksandar Pekeč has collaborated with scholars based in United States, Denmark and France. Frequent co-authors include Michael H. Rothkopf, Ronald M. Harstad, Michel Regenwetter, Nabil H. Mustafa, Fred S. Roberts, Ilia Tsetlin, N. V. R. Mahadev, James A. Reeds, Peter C. Fishburn and Jean‐Claude Bermond. Their work appears in journals such as Management Science, European Journal of Operational Research and Operations Research.

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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