Vladimir Marković
- Behavioral Neuroscience top 10%
- Endocrine and Autonomic Systems
- Geometry and Topology top 10%
- Applied Mathematics top 10%
- Computer Networks and Communications
- Co-authors
- Željko ČupićVladana VukojevićLjiljana Kolar-AnićMiodrag MateljevićLj. Kolar‐AnićSlobodan AnićJeremy KahnAna Ivanović
- Topics
- Stress Responses and Cortisol (6 papers)Circadian rhythm and melatonin (6 papers)Geometric and Algebraic Topology (6 papers)
- Journals
- The Journal of Physical ChemistryPhysical Chemistry Chemical PhysicsInventiones mathematicae
- Partner nations
- SerbiaUnited StatesSweden
In The Last Decade
Vladimir Marković
24 papers receiving 201 citations
Peers
Comparison fields: 5 of 76
- Behavioral Neuroscience 57
- Endocrine and Autonomic Systems 49
- Geometry and Topology 48
- Applied Mathematics 38
- Computer Networks and Communications 36
Countries citing papers authored by Vladimir Marković
This map shows the geographic impact of Vladimir Marković'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 Vladimir Marković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Marković more than expected).
Fields of papers citing papers by Vladimir Marković
This network shows the impact of papers produced by Vladimir Marković. 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 Vladimir Marković. The network helps show where Vladimir Marković may publish in the future.
Co-authorship network of co-authors of Vladimir Marković
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Marković. A scholar is included among the top collaborators of Vladimir Marković 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 Vladimir Marković. Vladimir Marković 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 | 0 | |
| 3 | 11 | |
| 4 | 16 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 23 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 0 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 11 | |
| 18 | New versions of Grötzsch principle and Reich-Strebel inequality | 2 |
| 19 | The Unique Extremal Qc Mapping And Uniqueness Of Hahn-Banach Extensions | 1 |
| 20 | 2 |
About Vladimir Marković
Vladimir Marković is a scholar working on Behavioral Neuroscience, Geometry and Topology and Endocrine and Autonomic Systems, having authored 26 papers that have together received 211 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (6 papers), Circadian rhythm and melatonin (6 papers) and Geometric and Algebraic Topology (6 papers). The work is most often cited by research in Behavioral Neuroscience (57 citations), Endocrine and Autonomic Systems (49 citations) and Geometry and Topology (48 citations). Vladimir Marković has collaborated with scholars based in Serbia, United States and Sweden. Frequent co-authors include Željko Čupić, Vladana Vukojević, Ljiljana Kolar-Anić, Miodrag Mateljević, Lj. Kolar‐Anić, Slobodan Anić, Jeremy Kahn, Ana Ivanović, O. I. Mićić and John A. Pojman. Their work appears in journals such as The Journal of Physical Chemistry, Physical Chemistry Chemical Physics and Inventiones mathematicae.
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.