Chris J. Cieszewski
About
In The Last Decade
Chris J. Cieszewski
83 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 92
- Nature and Landscape Conservation 1.1k
- Global and Planetary Change 983
- Environmental Engineering 719
- Mechanical Engineering 370
- Ecology 330
Countries citing papers authored by Chris J. Cieszewski
This map shows the geographic impact of Chris J. Cieszewski'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 Chris J. Cieszewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris J. Cieszewski more than expected).
Fields of papers citing papers by Chris J. Cieszewski
This network shows the impact of papers produced by Chris J. Cieszewski. 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 Chris J. Cieszewski. The network helps show where Chris J. Cieszewski may publish in the future.
Co-authorship network of co-authors of Chris J. Cieszewski
This figure shows the co-authorship network connecting the top 25 collaborators of Chris J. Cieszewski. A scholar is included among the top collaborators of Chris J. Cieszewski 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 Chris J. Cieszewski. Chris J. Cieszewski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 7 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | COMPARING PROPERTIES OF SELF-REFERENCING MODELS BASED ON NONLINEAR-FIXED-EFFECTS VERSUS NONLINEAR-MIXED-EFFECTS MODELING APPROACHES | 8 |
| 6 | Overview of the 2017 11th Southern Forestry and Natural Resources GIS Conference | 1 |
| 7 | The importance of mapping technology knowledge and skills for students seeking entry-level forestry positions: Evidence from job advertisements | 5 |
| 8 | Assessing the Accuracy of Tree Diameter Measurements Collected at a Distance | 10 |
| 9 | 4 | |
| 10 | Micro-detail comparative forest site analysis using high-resolution satellite imagery | 1 |
| 11 | Wood quality assessment of tree trunk from the tree branch sample and auxiliary data based on NIR Spectroscopy and SilviScan | 9 |
| 12 | Perspectives on New Developments of Decision Support Systems for Sustainable Forest Management | 5 |
| 13 | Selected Examples of Advanced FIA Data Analysis | 0 |
| 14 | Trends in spatial forest planning | 21 |
| 15 | 32 | |
| 16 | 12 | |
| 17 | Intensywna gospodarka lesna na Poludniu Stanow Zjednoczonych Ameryki Polnocnej | 1 |
| 18 | Dynamiczna forma anamorficznego modelu bonitacyjnego dla sosny pospolitej w Polsce | 3 |
| 19 | 167 | |
| 20 | 219 |
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.